{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e18r.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Sep 2016, 00:26:57
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 1 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 1 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 5 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 5 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 0 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(395 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}
Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d2 p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-232.57985}  
Iteration 1:{space 3}log pseudolikelihood = {res:-232.57985}  

Structural equation model{col 49}Number of obs{col 67}= {res}       210
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-232.57985

{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3918876{col 26}{space 2} .0580134{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .2781834{col 67}{space 3} .5055917
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0305852{col 26}{space 2}   .04661{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0607687{col 67}{space 3} .1219392
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1967335{col 26}{space 2} .0623647{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0745009{col 67}{space 3} .3189661
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3254008{col 26}{space 2}  .075753{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .1769277{col 67}{space 3}  .473874
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6812637{col 26}{space 2} .0430061{col 37}{space 1}   15.84{col 46}{space 3}0.000{col 54}{space 4} .5969734{col 67}{space 3} .7655541
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
    var(e.d2){c |}{col 14}{res}{space 2} .0501989{col 26}{space 2} .0070702{col 54}{space 4} .0380898{col 67}{space 3} .0661576
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0433226{col 26}{space 2} .0102991{col 54}{space 4} .0271868{col 67}{space 3} .0690353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       210{col 27}        .{col 38}-232.5799{col 49}     8{col 58} 481.1597{col 69} 507.9366
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3918876{col 26}{space 2} .0580134{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .2781834{col 67}{space 3} .5055917
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0305852{col 26}{space 2}   .04661{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.0607687{col 67}{space 3} .1219392
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1967335{col 26}{space 2} .0623647{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0745009{col 67}{space 3} .3189661
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2} .0398417{col 26}{space 2} .0190093{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0025841{col 67}{space 3} .0770993
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0651063{col 26}{space 2} .0139135{col 37}{space 1}    4.68{col 46}{space 3}0.000{col 54}{space 4} .0378364{col 67}{space 3} .0923762
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d2 <-     {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3918876{col 26}{space 2} .0580134{col 37}{space 1}    6.76{col 46}{space 3}0.000{col 54}{space 4} .2781834{col 67}{space 3} .5055917
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0704269{col 26}{space 2} .0600481{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.0472652{col 67}{space 3} .1881191
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .2618398{col 26}{space 2} .0647131{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} .1350044{col 67}{space 3} .3886753
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0651063{col 26}{space 2} .0232164{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4}  .019603{col 67}{space 3} .1106096
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .2618398{col 26}{space 2} .0429771{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .1776062{col 67}{space 3} .3460735
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .06510632{col 27}{space 2}-.0006997{col 38}{space 2} .02321638{col 51}{space 2} .0272698{col 63}{space 1} .1151973{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0322059{col 63}{space 1} .1243269{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .26183985{col 27}{space 2}-.0007974{col 38}{space 2} .04297715{col 51}{space 2} .1739445{col 63}{space 1} .3431063{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .1764256{col 63}{space 1} .3441464{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d2 <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0398417{col 26}{space 2} .0155187{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .0094256{col 67}{space 3} .0702578
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0704269{col 26}{space 2} .0355813{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0006888{col 67}{space 3} .1401651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .03984171{col 27}{space 2}-.0006451{col 38}{space 2} .01551868{col 51}{space 2} .0131128{col 63}{space 1} .0743633{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0159923{col 63}{space 1} .0772614{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .07042695{col 27}{space 2} .0003994{col 38}{space 2} .03558133{col 51}{space 2} .0029487{col 63}{space 1} .1414686{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0033559{col 63}{space 1} .1437577{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       194
                                                {txt}F(3, 190)         =  {res}     0.16
                                                {txt}Prob > F          = {res}    0.9248
                                                {txt}R-squared         = {res}    0.0023
                                                {txt}Root MSE          =    {res} .49025

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2}-.0315318{col 26}{space 2} .0762475{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.1819321{col 67}{space 3} .1188686
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .0271218{col 26}{space 2} .1295468{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.2284129{col 67}{space 3} .2826566
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0594929{col 26}{space 2} .1425053{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.3405887{col 67}{space 3} .2216028
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6362576{col 26}{space 2} .1052527{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} .4286437{col 67}{space 3} .8438715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e18r.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Sep 2016, 00:28:39
{txt}{.-}
{smcl}
{txt}{sf}{ul off}